SynSpeech Dataset (Large Version Part 1)

The SynSpeech Dataset (Large Version Part 1) is an English-language synthetic speech dataset designed for benchmarking disentangled speech representation learning methods. Created using OpenVoice and LibriSpeech-100, it includes 249 unique speakers, each with 500 distinct sentences spoken in four styles: “default,” “friendly,” “sad,” and “whispering,” recorded at a 16kHz sampling rate.Due to file size limitations, the dataset has been split into two nearly equal halves. This first half contains data for 136 of the 249 speakers, along with metadata detailing speaker information, gender, speaking style, text, and file paths. The <code>synspeech_Large_Metadata.csv</code> file provides metadata for both halves, and both parts of the archive must be extracted and placed within the same parent directory for full functionality.Data is organized by speaker ID, making this dataset ideal for applications in representation learning, speaker and content factorization, and TTS synthesis.

SynSpeech数据集（大版本第一部分）是一款专为解耦语音表征学习方法构建基准测试的英语合成语音数据集。该数据集基于OpenVoice与LibriSpeech-100构建，涵盖249名独特说话人，每位说话人包含500条不同语句，覆盖“默认”“亲和”“伤感”与“耳语”四种说话风格，采样率为16kHz。受限于文件大小，该数据集被拆分为两个近乎均等的子部分。本第一部分包含249名说话人中的136名的相关数据，并附带元数据，详细记录了说话人信息、性别、说话风格、文本内容及文件路径。<code>synspeech_Large_Metadata.csv</code> 文件提供了两个子部分的全部元数据，且需将两个归档包解压至同一父目录下，方可实现完整功能。数据集按说话人ID进行组织，非常适用于表征学习、说话人与内容因子分解以及文本到语音合成（Text-to-Speech，TTS）相关应用。